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Computational intelligence based simultaneous determination of the spatial profile of the laser beam and vibrational-to-translational relaxation time by pulsed photoacoustics
aUniveristy of Niš, Faculty of Occupational Safety
bUniveristy of Niš, Faculty of Mechanical Engineering
cUniversity of Belgrade, Institute of Physics, Belgrade-Zemun
dUniversity of Belgrade, Institute for Multidisciplinary Research

emailmladena.lukic@znrfak.ni.ac.rs
Project:
Atomic collision processes and photoacoustic spectroscopy of molecules and solids (MESTD - 171016)
Research of MHD flows around the bodies, in the tip clearances and the channels and application in the MHD pumps development (MESTD - 35016)

Abstract
This paper is concerned with the possibilities of computational intelligence application for simultaneous determination of the laser beam spatial profile and vibrational-to-translational relaxation time of the polyatomic molecules in gases by pulsed photoacoustics. Results regarding the application of neural computing and genetic optimization are presented through the use of feed forward multilayer perception networks and real-coded genetic algorithms. Feed forward multilayer perception networks are trained in an offline batch training regime to estimate simultaneously, and in real-time, laser beam spatial profile R(r) (profile shape class) and vibrational-to-translational relaxation time τV-T from a given (theoretical) photoacoustic signals δp(r,t). The proposed method significantly shortens the time required for the simultaneous determination of the laser beam spatial profile and relaxation time and has the advantage of accurately calculating the aforementioned quantities. Real coded genetic algorithms are used to calculate τV-T by fitting the δp(r,t) with the theoretical one. The previously developed methods determine the laser beam profile and relaxation time with sufficient precision, but the methods based on the application of artificial intelligence are more suitable for practical applications, such as the real-time in-situ measurements of atmospheric pollutants.
References
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About

article language: English
document type: unclassified
DOI: 10.2298/FUPCT1201001L
published in SCIndeks: 03/04/2013

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